Recognize and remedy dirty data

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Habilidades que você aprenderá

Spreadsheet, Data Cleansing, Sample Size Determination, SQL, Data Integrity

Avaliações

4.8 (9,808 classificações)

  • 5 stars
    85,12%
  • 4 stars
    12,21%
  • 3 stars
    1,86%
  • 2 stars
    0,41%
  • 1 star
    0,37%

VR

24 de abr de 2021

Google makes great professional certifications. All the classes so far have been fantastic but getting our hands dirty with the data was fun and challenging. Look forward to completing this series.

OO

27 de jan de 2023

The course covers the topic of data cleaning, handling missing values, outliers and errors using SQL and spreadsheets, which are important skills for data analysis and working with real-world data.

Na lição

Sparkling-clean data

Every data analyst wants clean data to work with when performing an analysis. In this part of the course, you’ll learn the difference between clean and dirty data. You’ll also explore data cleaning techniques using spreadsheets and other tools.

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